Modulation Response Research Articles

Multiple-carrier-lifetime model for carrier dynamics in InGaN/GaN LEDs with a non-uniform carrier distribution

We introduce a multiple-carrier-lifetime model (MCLM) for light-emitting diodes (LEDs) with non-uniform carrier distribution, such as in multiple-quantum-well (MQW) structures. By employing the MCLM, we successfully explain the modulation response of V-pit engineered MQW LEDs, which exhibit an S21 roll-off slower than −20 dB/decade. Using the proposed model and employing a gradient descent method, we extract effective recombination and escape lifetimes by averaging the carrier behavior across the quantum wells. Our results reveal slower effective carrier recombination and escape in MQW LEDs compared with LEDs emitting from a single QW, indicating the advantages of lower carrier density achieved through V-pit engineering. Notably, the effective carrier recombination time is more than one order of magnitude lower than the effective escape lifetime, suggesting that most carriers in the quantum wells recombine, while the escape process remains weak. To ensure the reliability and robustness of the MCLM, we subject it to a comprehensive threefold validation process. This work confirms the positive impact of spreading carriers into several quantum wells through V-pit engineering. In addition, the MCLM is applicable to other LEDs with a non-uniform carrier distribution, such as micro-LEDs with significant surface recombination and non-uniform lateral carrier profiles.

Laboratory Tools to Predict CFTR Modulator Therapy Effectiveness and to Monitor Disease Severity in Cystic Fibrosis.

The implementation of cystic fibrosis (CF) transmembrane conductance regulator (CFTR) modulator drugs into clinical practice has been attaining remarkable therapeutic outcomes for CF, a life-threatening autosomal recessive genetic disease. However, there is elevated CFTR allelic heterogeneity, and various individuals carrying (ultra)rare CF genotypes remain without any approved modulator therapy. Novel translational model systems based on individuals' own cells/tissue are now available and can be used to interrogate in vitro CFTR modulator responses and establish correlations of these assessments with clinical features, aiming to provide prediction of therapeutic effectiveness. Furthermore, because CF is a progressive disease, assessment of biomarkers in routine care is fundamental in monitoring treatment effectiveness and disease severity. In the first part of this review, we aimed to focus on the utility of individual-derived in vitro models (such as bronchial/nasal epithelial cells and airway/intestinal organoids) to identify potential responders and expand personalized CF care. Thereafter, we discussed the usage of CF inflammatory biomarkers derived from blood, bronchoalveolar lavage fluid, and sputum to routinely monitor treatment effectiveness and disease progression. Finally, we summarized the progress in investigating extracellular vesicles as a robust and reliable source of biomarkers and the identification of microRNAs related to CFTR regulation and CF inflammation as novel biomarkers, which may provide valuable information for disease prognosis.

Investigation of stimulated growth effect by application of L-aspartic acid on poplar

Poplar is an important resource for the production of wood-based products. L-aspartic acid (Asp) is a proteinogenesis amino acid that plays a critical role in cell growth modulation and stress response. Also, Asp is widespread in the commonly used amino acid-based biostimulant products. However, its effects on poplars remain largely unknown. To address this issue, we applied different concentrations of Asp to poplar seedlings under N reduction conditions (simulating low N availability status), and assessed the effects of Asp on poplar growth and development. Our results showed that supplement of Asp at an appropriate concentration, that is, 0.5 mM in the present study, had the best growth-promoting effect on poplars. It significantly increased poplar biomass and height, and simultaneously elevated the photosynthetic parameters, the chlorophyll content and total free amino acid content, as well as the activity of N metabolism-related enzymes in poplars-treated with Asp in comparision with the control plants without Asp addition. Furthermore, the expression of Asp-metabolism pathway genes (AspAT1, AspAT6, AspAT10, AK1, ASS1 and ASS2), key chlorophyll synthesis gene (LHCB3) and cell division gene (CYCD3) was all dramatically upregulated in response to Asp application, suggesting that Asp-induced effect invoked photosynthesis activation and metabolism reprogramming. More interestingly, our results showed that the levels of various phytohormones, such as auxin and cytokinins were remarkably altered, and key auxin transport gene (PIN1c-2), auxin conjugation gene (GH3.6–2) were induced by Asp treatment, indicative of the possible involvement of plant hormones under the effect of Asp, especially fine-tuning auxin homeostasis by forming IAA-Asp conjugates to store auxin and catabolizing IAA-Asp to release auxin, may account for Asp-mediated growth modulation to an extent in poplars. Our study provides a novo insight into the growth promotion effect of Asp on poplars, especially, when the N source is limited, even though the underlying mechanism of Asp-induced stimulation action needs further in-depth investigation.

Applications of emerging extracellular vesicles technologies in the treatment of inflammatory diseases.

The emerging extracellular vesicles technologies is an advanced therapeutic approach showing promising potential for addressing inflammatory diseases. These techniques have been proven to have positive effects on immune modulation and anti-inflammatory responses. With these advancements, a comprehensive review and update on the role of extracellular vesicles in inflammatory diseases have become timely. This review aims to summarize the research progress of extracellular vesicle technologies such as plant-derived extracellular vesicles, milk-derived extracellular vesicles, mesenchymal stem cell-derived extracellular vesicles, macrophage-derived extracellular vesicles, etc., in the treatment of inflammatory diseases. It elucidates their potential significance in regulating inflammation, promoting tissue repair, and treating diseases. The goal is to provide insights for future research in this field, fostering the application and development of extracellular vesicle technology in the treatment of inflammatory diseases.

B7-H3 suppresses CD8+ T cell immunologic function through reprogramming glycolytic metabolism.

Malignant neoplasms pose a formidable threat to human well-being. Prior studies have documented the extensive expression of B7 homolog 3 (B7-H3 or CD276) across various tumors, affecting glucose metabolism. Yet, the link between metabolic modulation and immune responses remains largely unexplored. Our study reveals a significant association between B7-H3 expression and advanced tumor stages, lymph node metastasis, and tumor location in oral squamous cell carcinoma (OSCC). We further elucidate B7-H3's role in mediating glucose competition between cancer cells and CD8+ T cells. Through co-culturing tumor cells with flow cytometry-sorted CD8+ T cells, we measured glucose uptake and lactate secretion in both cell types. Additionally, we assessed interferon-gamma (IFN-γ) release and the immune and exhaustion status of CD8+ T cells. Our findings indicate that B7-H3 enhances glycolysis in OSCC and malignant melanoma, while simultaneously inhibiting CD8+ T cell glycolysis. Silencing B7-H3 led to increased IFN-γ secretion in co-cultures, highlighting its significant role in modulating CD8+ T cell functions within the tumor microenvironment and its impact on tumorigenicity. We also demonstrate that glycolysis inhibition can be mitigated by exogenous glucose supplementation. Mechanistically, our study suggests B7-H3's influence on metabolism might be mediated through the phosphoinositide3-kinase (PI3K)/ protein kinase B (Akt)/ mammalian target of rapamycin (mTOR) signaling pathway. This research unveils how B7-H3 affects immune functions via metabolic reprogramming.

Immunomodulatory effect of aqueous extract of Termitomyces striatus mushroom on enterohemorrhagic Escherichia coli-infected mice

Enterohemorrhagic Escherichia coli (EHEC) generates Shiga toxins that causes immunosuppression and diarrhea. Synthetic immunomodulatory drugs are associated with numerous severe effects, necessitating the need for substitute therapeutic agents. This study aimed to determine the immunomodulatory activity of aqueous extract of Termitomyces striatus in in mice infected with EHEC. Mice in the positive control, negative control and two extract-treated groups were administered orally with 200µL of 9×108 CFU/mL EHEC. From day 5, the positive control, negative control, and extract-treated mice were orally administered with levamisole (50mg/kg body weight (bw)), phosphate-buffered saline (vehicle), and aqueous extract of Termitomyces striatus (200 and 400mg/kg body weight), respectively. The control mice received the vehicle only. After the experiment, the mice were euthanized, blood was collected, and white blood cells (WBCs) and differentials analyzed using a hematological analyzer. Immunoglobulin G (IgG), interleukin-4 (IL-4) and interferon-gamma (INF-γ) levels were also quantified using enzyme-linked immunosorbent assays. The extract significantly reduced elevated levels of WBCs, neutrophils, monocytes, eosinophils and basophils, as well as significantly enhanced the levels of lymphocytes in EHEC-infected mice (p<0.05). Besides, the extract significantly lowered the levels of INF-γ while significantly increasing the levels of IL-4 and IgG in EHEC-infected mice. Flavonoids, alkaloids, saponins, steroids and phenolics are some of the phytochemicals that were detected in T. striatus. Together, these finding revealed that T. striatus extract modulated immune response in EHEC- challenged mice by lowering leucocyte counts and INF-γ, enhancing lymphocytes, IL-4 and IgG, suggesting that the extract could be developed as an immunomodulatory agent.

Construction of Online Interactive Teaching Platform for Drama, Film and Television Majors Based on Fuzzy Multi-Objective Decision Making Algorithm

Abstract This study introduces a multi-objective decision-making model tailored for developing an educational platform, blending economic considerations with the platform’s operational constraints. It employs a fuzzy set approach for algorithm design, utilizing a method that minimizes deviations in membership values for solving. The research culminates creating an online interactive teaching platform for drama and film studies. This platform is architecturally founded on the B/S framework, incorporates functional modules derived from its educational objectives, and utilizes MySQL for data flow design. Comparing it to conventional teaching methods, a comprehensive evaluation demonstrates its practical application in real-world teaching scenarios. Performance tests reveal module response times between 2.7 to 3.0 seconds, with compatibility tests ranging from 0.11 to 0.36 seconds. Under a load of 200 simultaneous users, the database connection pool maintains an optimal size of about 35 connections, with thread counts near 50 and zero idle database connections. The study also quantifies the platform’s impact on various educational aspects, showing correlation coefficients for learning attitude (0.88), motivation (0.50), behavior (0.72), and teacher-student (0.15) as well as student-student interactions (0.27) with the learning effectiveness of the platform.

Visual Explanation for Open-Domain Question Answering With BERT.

Open-domain question answering (OpenQA) is an essential but challenging task in natural language processing that aims to answer questions in natural language formats on the basis of large-scale unstructured passages. Recent research has taken the performance of benchmark datasets to new heights, especially when these datasets are combined with techniques for machine reading comprehension based on Transformer models. However, as identified through our ongoing collaboration with domain experts and our review of literature, three key challenges limit their further improvement: (i) complex data with multiple long texts, (ii) complex model architecture with multiple modules, and (iii) semantically complex decision process. In this paper, we present VEQA, a visual analytics system that helps experts understand the decision reasons of OpenQA and provides insights into model improvement. The system summarizes the data flow within and between modules in the OpenQA model as the decision process takes place at the summary, instance and candidate levels. Specifically, it guides users through a summary visualization of dataset and module response to explore individual instances with a ranking visualization that incorporates context. Furthermore, VEQA supports fine-grained exploration of the decision flow within a single module through a comparative tree visualization. We demonstrate the effectiveness of VEQA in promoting interpretability and providing insights into model enhancement through a case study and expert evaluation.

Vitamins for the Prevention and/or Treatment of COVID-19: An Umbrella Review

Objective: This umbrella review synthesizes the existing literature on the role of vitamins for COVID-19 prevention and management. The objective is to elucidate potential preventive and therapeutic dimensions of these vitamins, highlight clinical applicability, and identify avenues for future research. Methods: A systematic search was conducted using PubMed and Google Scholar, with predefined key words for each vitamin combined with COVID-19-related terms. Narrative and systematic reviews were included, following Cochrane guidelines. AMSTAR scoring was used to assess systematic review quality, while SANRA guidelines were used to evaluate narrative reviews. Data extraction, synthesis, and reference overlap were conducted. Findings: Narrative reviews (n=14) revealed preclinical benefits of vitamins A, B group, C, D, and E (no research on vitamin K found) in COVID-19 management, with potential for immune modulation and anti-inflammatory responses. Of the systematic reviews (n=44), none included vitamins A or E. Some B vitamins exhibited potential, with significant associations between vitamin C supplementation and reduced COVID-19 severity. Many significant findings were also found between vitamin D deficiency and heightened COVID-19 risks, as well as promising effects of vitamin D supplementation. Conclusion: Vitamins A, B group, C, D, and E hold mechanistic rationale for combating COVID-19, as suggested by narrative reviews. In systematic reviews, vitamin D deficiency underscores its role in COVID-19 severity, while vitamin C and D supplementation show potential benefits as adjunct therapies. This umbrella review highlights the comprehensive research on the efficacy of vitamins in addressing COVID-19, with challenges that warrant further investigation.

Particle swarm optimization-assisted approach for the extraction of VCSEL model parameters.

We propose a direct particle swarm optimization (PSO) method for extracting the parameters of a physical model describing the behavior of vertical-cavity surface-emitting lasers (VCSELs), starting from the light-current (L-I) characteristics and the small signal modulation (S21) responses, at different currents and temperatures. With an optimal choice of hyperparameters of the algorithm, the method is able to predict parameters that accurately reproduce the behavior of the device. Its prediction capabilities are compared to those of two commonly used nonlinear optimizers (Interior Point and Levenberg-Marquardt), to benchmark its performances.

Tailoring the Direct Current Modulation Response of Electrically Pumped Semiconductor Nano-Laser Arrays

Semiconductor nano-lasers have been a topic of interest from the perspective of advancing the capabilities of photonic integration. Nano-lasers are perceived as the means to achieve improved functionality in photonic integrated circuits. The properties and performance of nano-lasers have been examined by means of simulations and laboratory measurements. Nano-lasers lend themselves to integration to form dense arrays in both one and two dimensions. In a recent work, a theoretical treatment was presented for the dynamic behaviour of stand-alone electrically pumped nano-laser arrays. In this work, the response of nano-laser arrays to direct current modulation is examined. As in previous works, attention is given to two prototype array geometries: a linear three-element linear array and an equilateral triangular array. Large one-dimensional arrays can be built by repeating this elementary linear array. Two-dimensional photonic integrated circuits can incorporate the triangular arrays studied here. Such prototypical configurations offer opportunities to tailor the modulation response of the nano-laser arrays. The principal factors which provide that capability are the coupling strengths between lasers in the arrays and the direct modulation parameters. The former are fixed at the design and manufacture stage of the array whilst the latter can be chosen. In addition, the enhancement of the spontaneous emission rate via the so-called Purcell effect in nano-lasers offers a device-specific means for accessing a range of modulation responses. Two-dimensional portraits of the regimes of differing modulation responses offer a convenient means for determining the dynamics that may be accessed by varying the laser drive current. It is shown by these means that a rich variety of modulation responses can be accessed in both linear and triangular arrays.

Does interset stretching change the autonomic modulation and hemodynamic responses in trained young men?

The aim of the present study was to analyze the effect of interset stretching in the heart rate variability and hemodynamic responses. The sample consisted of 8 trained men (23 ± 2.72 years, 1.74 ± 0.07 meters, 75.66 ± 10.85 kg). The lower limbs training protocol started with three sets of 10 maximal repetitions in the back squat and leg press exercises, with 1-minute rest between sets. After that, 7 sets of maximal repetitions were performed on the leg extension machine with 30 seconds interval between sets, using the first 20 seconds for passive stretching of the quadriceps muscles. Hemodynamic responses and autonomic modulation were obtained at rest, during the session and immediately after for 15 minutes post-session. Autonomic modulation was monitored by heart rate variability. Significant reductions during and after resistance training protocol were observed for RR intervals, RMSSD, pNN50, SDNN, 2LV%, 2UV%, LF and HF in comparison with basal levels. Meanwhile, 0V% presented significantly increases during and after experimental protocol. Lower LF/HF, LFnu and HFnu values was observed during protocol. Systolic blood pressure (SBP), mean blood pressure (MBP), heart rate (HR) and rate pressure product (RPP) were significantly higher after session. After 15 minutes, SBP, DBP, MBP, and RPP returned to near baseline values. The sympathetic activity increased during the protocol and post 15 minutes.

Generative design of graded metamaterial arrays for dynamic response modulation

Mechanical metamaterials (MMs) are micro-structured systems that have long attracted research as well as application interests due to their exotic dynamic functionalities and properties not seen in ordinary materials. Graded MM arrays further enrich the scope of achievable dynamic behavior by employing non-periodic media. Designing such systems is particularly challenging due to the unclear design-performance relationship as well as the heavy computational burden. In this work, we aim to control the time domain response patterns of finite MM arrays and introduce a data-driven design approach that addresses the current challenges. A high-fidelity reduced order modeling (ROM) method is incorporated with statistical learning approaches to realize data generation and physics validation with minimal effort. A variational autoencoder (VAE) is trained to learn the design-performance relation and is used to retrieve classes of design configurations associated with a desired performance. An example application for impact mitigation is shown, and the designed MM arrays exhibit superior protection performance. The combined ROM-VAE approach presents a systematic toolset for designing graded MM arrays with modulated responses, capable of a broad spectrum of tasks such as fast prototyping, inverse generation, and design principle identification.

Evaluation of online educational curriculum on HPV vaccination practices among adult primary care providers

BackgroundHuman papillomavirus (HPV) is the most common sexually transmitted infection in the United States. While HPV is a vaccine-preventable illness, vaccine utilization rates in the United States remain low, particularly among adults.MethodsThe objective of this study was to assess the impact of an online, asynchronous educational module on HPV vaccination for adult primary care providers. We designed and implemented the module for family medicine, internal medicine, medicine/pediatrics, and obstetrics/gynecology providers in a community practice network affiliated with a large academic health system. We evaluated the effect of the module on provider knowledge, attitudes, and self-reported behaviors with pre-, post-, and delayed post-tests, using Likert-scales for measurement. We summarized data with descriptive statistics and compared changes in individuals using paired t-tests.ResultsOne hundred forty-four out of 223 providers completed the module (response rate of 65%). At baseline, internists had the lowest knowledge scores compared to other specialties (pre-test mean of 3.6, out of 5, SD 1.2). Internists were also the least likely to counsel patients on HPV vaccination (mean 1.6, SD 0.9). There was a statistically significant improvement in knowledge from pre-test to post-test (from mean of 3.8 to 4.6, out of 5, p < .001) across all specialties. There was also statistically significant improvement in mean confidence for all providers from pre-test to post-test to identify patients aged 19–26 (3.3 to 3.7, p < .001) and patients aged 27–45 (2.7 to 3.5, p < .001) who needed vaccination. There was a statistically significant improvement in likelihood to counsel eligible patients on the risks of HPV infection (mean 2.3 to 2.8, p-value 0.002). The delayed post-test demonstrated retention of improved knowledge, confidence, and self-reported behavior.ConclusionsThis study demonstrated that an asynchronous online module was effective at improving confidence, knowledge, and self-reported behavior of adult primary care providers in recommending HPV immunization. Given the important role that healthcare providers play in vaccine uptake, this study suggests that an online educational intervention can be a powerful tool to encourage increased utilization and delivery of the HPV vaccine. Further efforts are needed to educate internists and providers who take care of the adult population on HPV vaccination.

Total Transfer Capacity Evaluation of HVDC Tie-Lines Considering Frequency Security Constraints

The high proportion of renewable energy access and the construction of HVDC transmission projects have led to a continuous decrease in the penetration rate of asynchronous power sources in the power system. Maintaining frequency stability and safe operation of the power system is a key issue that needs to be urgently addressed in the power grid. This article takes into account the participation of multiple types of power resources in inertia support and frequency modulation response and it also constructs an evaluation model for the total HVDC transfer capacity of the power grid. In response to the uncertainty of wind power and load power, scenario reduction methods are adopted to enhance the HVDC total transfer capacity of the power grid under frequency safety and stability constraints by the daily output of each power source. The simulation results indicate that the scheduling scheme evaluated by the proposed model has a higher frequency security level compared to traditional models.

Study of low-frequency noise suppression effect inside acoustic cavities by applying piezoelectric nonlinear energy sink

In this paper, the piezoelectric nonlinear energy sink (NES) is used to suppress the radiated noise from a thin plate, and the targeted energy transfer (TET) characteristics and mechanism of the coupled system of two piezoelectric NESs and a thin plate are analyzed, and the coupling model of the system with the acoustic cavity, rectangular thin plate and piezoelectric NES is established. The parameters of the piezoelectric NESs are adjusted according to the excitation amplitude, and then applied to the rectangular thin plate. The numerical results show that the piezoelectric NES causes the system to undergo strongly modulated response (SMR) and the resonance peak of radiation noise is effectively suppressed. It provides a new technique for passive control of low-frequency noise.

A network-based transcriptomic landscape of HepG2 cells uncovering causal gene-cytotoxicity interactions underlying drug-induced liver injury.

Drug-induced liver injury (DILI) remains the main reason for drug development attritions largely due to poor mechanistic understanding. Toxicogenomic to interrogate the mechanism of DILI has been broadly performed. Gene coregulation network-based transcriptome analysis is a bioinformatics approach that potentially contributes to improve mechanistic interpretation of toxicogenomic data. Here we performed an extensive concentration time course response-toxicogenomic study in the HepG2 cell line exposed to 20 DILI compounds, 7 reference compounds for stress response pathways, and 10 agonists for cytokines and growth factor receptors. We performed whole transcriptome targeted RNA sequencing to more than 500 conditions and applied weighted gene coregulated network analysis to the transcriptomics data followed by the identification of gene coregulated networks (modules) that were strongly modulated upon the exposure of DILI compounds. Preservation analysis on the module responses of HepG2 and PHH demonstrated highly preserved adaptive stress response gene coregulated networks. We correlated gene coregulated networks with cell death onset and causal relationships of 67 critical target genes of these modules with the onset of cell death was evaluated using RNA interference screening. We identified GTPBP2, HSPA1B, IRF1, SIRT1, and TSC22D3 as essential modulators of DILI compound-induced cell death. These genes were also induced by DILI compounds in PHH. Altogether, we demonstrate the application of large transcriptome datasets combined with network-based analysis and biological validation to uncover the candidate determinants of DILI.

Inhibiting the endoplasmic reticulum stress response enhances the effect of doxorubicin by altering the lipid metabolism of liver cancer cells

Hepatocellular carcinoma (HCC) is characterized by a low and variable response to chemotherapeutic treatments. One contributing factor to the overall pharmacodynamics is the activation of endoplasmic reticulum (ER) stress pathways. This is a cellular stress mechanism that becomes activated when the cell's need for protein synthesis surpasses the ER's capacity to maintain accurate protein folding, and has been implicated in creating drug-resistance in several solid tumors. ObjectiveTo identify the role of ER-stress and lipid metabolism in mediating drug response in HCC. MethodsBy using a chemically-induced mouse model for HCC, we administered the ER-stress inhibitor 4μ8C and/or doxorubicin (DOX) twice weekly for three weeks post-tumor initiation. Histological analyses were performed alongside comprehensive molecular biology and lipidomics assessments of isolated liver samples. In vitro models, including HCC cells, spheroids, and patient-derived liver organoids were subjected to 4μ8C and/or DOX, enabling us to assess their synergistic effects on cellular viability, lipid metabolism, and oxygen consumption rate. ResultsWe reveal a pivotal synergy between ER-stress modulation and drug response in HCC. The inhibition of ER-stress using 4μ8C not only enhances the cytotoxic effect of DOX, but also significantly reduces cellular lipid metabolism. This intricate interplay culminates in the deprivation of energy reserves essential for the sustenance of tumor cells. ConclusionsThis study elucidates the interplay between lipid metabolism and ER-stress modulation in enhancing doxorubicin efficacy in HCC. This novel approach not only deepens our understanding of the disease, but also uncovers a promising avenue for therapeutic innovation. The long-term impact of our study could open the possibility of ER-stress inhibitors and/or lipase inhibitors as adjuvant treatments for HCC-patients.

Synchronous micromechanically resonant programmable photonic circuits

Programmable photonic integrated circuits (PICs) are emerging as powerful tools for control of light, with applications in quantum information processing, optical range finding, and artificial intelligence. Low-power implementations of these PICs involve micromechanical structures driven capacitively or piezoelectrically but are often limited in modulation bandwidth by mechanical resonances and high operating voltages. Here we introduce a synchronous, micromechanically resonant design architecture for programmable PICs and a proof-of-principle 1×8 photonic switch using piezoelectric optical phase shifters. Our design purposefully exploits high-frequency mechanical resonances and optically broadband components for larger modulation responses on the order of the mechanical quality factor Qm while maintaining fast switching speeds. We experimentally show switching cycles of all 8 channels spaced by approximately 11 ns and operating at 4.6 dB average modulation enhancement. Future advances in micromechanical devices with high Qm, which can exceed 10000, should enable an improved series of low-voltage and high-speed programmable PICs.

Vibration suppression of pipe conveying fluid using a nonlinear absorber in longitudinal direction

The article outlines the design of a nonlinear absorber that features cubic stiffness. The absorber was created for a pipe conveying fluid and was based on the internal resonance mechanism. To create the nonlinear absorber, a sliding mass oscillator was attached along to the pipe conveying fluid. Nonlinear equations were derived using Hamilton's principle. The flowing fluid was considered both as a constant value and a fluctuating term. To investigate the nonlinear behavior of the coupled pipe-absorber system, the direct multiple scales method was used. By selecting appropriate values of mass and stiffness for the absorber, the natural frequency of the absorber was tuned in three cases: 1–1, 2–1, and 3–1 internal resonance ratios between the natural frequency of the absorber and the first natural frequency of the pipe. The goal of the mechanism was to transfer energy from the pipe to the absorber, and the design was successful in achieving this. A saturation phenomenon was detected in the force modulation response at the three-to-one internal resonance. The results showed a reduction in amplitudes in both frequency and force response curves under the external primary resonance and pulsating flowing fluid in the supercritical regime. The nonlinear absorber has a good performance in a wide range of flow velocity and excitation. The accuracy of the results was verified using Galerkin and Finite difference methods.